mlsanityData to 14 Oct 2026

The Face of Persuasion: Analyzing Bias and Generating Culture-Aware Ads

arXiv 2510.15240 ↗First posted 17 Oct 2025cs.CVcited by 0

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Abstract (arXiv)

Text-to-image models are appealing for customizing visual advertisements and targeting specific populations. We investigate this potential by examining the demographic bias within ads for different ad topics, and the disparate level of persuasiveness (judged by models) of ads that are identical except for gender/race of the people portrayed. We also experiment with a technique to target ads for specific countries. The code is available at https://github.com/aysanaghazadeh/FaceOfPersuasion

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 17 of its 31 references that are in the map. First posted on arXiv 17 Oct 2025.

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References · 17

  1. 2021Learning Transferable Visual Models From Natural Language Supervisioncited by 33,744
  2. 2024Scaling Rectified Flow Transformers for High-Resolution Image Synthesiscited by 4,181
  3. 2022DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generationcited by 3,300
  4. 2024Evaluating Text-to-Visual Generation with Image-to-Text Generationcited by 474
  5. 2024Justice or Prejudice? Quantifying Biases in LLM-as-a-Judgecited by 368
  6. 2021Towards Understanding and Mitigating Social Biases in Language Modelscited by 296
  7. 2022Easily Accessible Text-to-Image Generation Amplifies Demographic Stereotypes at Large Scalecited by 262
  8. 2022DALL-Eval: Probing the Reasoning Skills and Social Biases of Text-to-Image Generation Modelscited by 230
  9. 2021Societal Biases in Language Generation: Progress and Challengescited by 202
  10. 2023"Kelly is a Warm Person, Joseph is a Role Model": Gender Biases in LLM-Generated Reference Letterscited by 199
  11. 2019Queens are Powerful too: Mitigating Gender Bias in Dialogue Generationcited by 152
  12. 2023Social Biases through the Text-to-Image Generation Lenscited by 127
5 more
  1. 2017Automatic Understanding of Image and Video Advertisementscited by 68
  2. 2024Examining Gender and Racial Bias in Large Vision-Language Models Using a Novel Dataset of Parallel Imagescited by 55
  3. 2022Gender and Racial Bias in Visual Question Answering Datasetscited by 39
  4. 2024An image speaks a thousand words, but can everyone listen? On image transcreation for cultural relevancecited by 36
  5. 2022Underspecification in Scene Description-to-Depiction Taskscited by 30

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